DocumentCode
379128
Title
Genetic algorithm application to vibration control of tall flexible structures
Author
Kundu, Sourav ; Seto, Kazuto ; Sugino, Shigeru
Author_Institution
Knowledge Solutions Group Inc., Kanagawa, Japan
fYear
2002
fDate
2002
Firstpage
333
Lastpage
337
Abstract
Presents experimental results of a genetic algorithm (GA) application for design of industrial actuators used for vibration control of tall flexible structures. Results are compared with experimental results published previously, showing the effectiveness of this design method. The method for modeling flexible structures with distributed parameters as reduced-order models with lumped parameters, is employed. Design of flexible structures is considered as a feedback search procedure where a new solution is assigned a fitness value and the GA, iterates until a satisfactory design solution is achieved. An evaluation function (fitness function) which uses the ratio between the controlled and uncontrolled peaks of the frequency response in the first mode of vibration as the measure of utility of the solution, is proposed
Keywords
controllability; distributed parameter systems; flexible structures; frequency response; genetic algorithms; observability; reduced order systems; structural engineering; vibration control; distributed parameters; evaluation function; feedback search procedure; first mode of vibration; fitness function; fitness value; frequency response; genetic algorithm; industrial actuators; lumped parameters; reduced-order models; tall flexible structures; vibration control; Actuators; Algorithm design and analysis; Design methodology; Feedback; Flexible structures; Genetic algorithms; Industrial control; Reduced order systems; Vibration control; Vibration measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location
Christchurch
Print_ISBN
0-7695-1453-7
Type
conf
DOI
10.1109/DELTA.2002.994641
Filename
994641
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